10 datasets found

The 7Scenes and Cambridge Landmarks datasets are used for evaluation of absolute pose estimators.

A new semi-sparsity model for image structure-texture decomposition.

Thumbnail generation dataset used in the paper for training and testing the proposed model.

A dataset of more than 7 million images with controlled changes in pose, position, background, lighting color, and size.

Synthetic rainy images dataset for training and testing the proposed LPNet for single image deraining.

A deep learning model that learns subject-level representation from a set of local features. The model represents the image volume as a bag (or set) of local features and can...

A real-world dataset for motion-blurred hand extraction task.

A synthetic dataset for motion-blurred hand extraction task.

Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...